Update README.md

README.md

@@ -2,13 +2,17 @@
 For more details, please refer to our paper "Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification"
 
 ## Environments
-python                    3.6
-pytorch                   1.3.0
-torch-cluster             1.4.5                    
-torch-geometric           1.3.2                     
-torch-scatter             1.4.0                     
-torch-sparse              0.4.3  
+- python                    3.6
+- pytorch                   1.3.0
+- torch-cluster             1.4.5                    
+- torch-geometric           1.3.2                     
+- torch-scatter             1.4.0                     
+- torch-sparse              0.4.3  
 
 ## Dataset
-We provide 
+For origin TRIANGLES dataset, you can download from here. In experiments, we use TRIANGLES with the partition rules of Jatin Chauhan.
 ## Training and Test 
+To train the AS-MAML framework with GraghSAGE and SAGPool, please run:
+python main.py 
+To test the trained model, please run the following:
+python test.py